Tools

LEADER 02697cam 2200517 i 4500

003 OCoLC;

005 20181130144722.0;

008 171003t20182018mauab b 001 0 eng ;

010 a| 2017043665;

020 a| 9780262535434;

020 a| 0262535432q| paperback ;q| alkaline paper;

035 a| 99979270871;

035 a| (OCoLC)1004086902;

042 a| pcc;

050 00 a| QA76.9.B45b| K45 2018;

070 0 a| QA76.9.B45b| K45 2018;

082 00 a| 005.72| 23;

100 1 a| Kelleher, John D.,d| 1974-e| author.=| ^A1283950;

245 10 a| Data science /c| John D. Kelleher and Brendan Tierney.;

264 1 a| Cambridge, Massachusetts ;a| London, England :b| The MIT Press,c| [2018];

300 a| xi, 264 pages :b| illustrations ;c| 18 cm.;

336 a| textb| txt2| rdacontent;

337 a| unmediatedb| n2| rdamedia;

338 a| volumeb| nc2| rdacarrier;

386 m| Nationality/regional group:n| nata| Irish2| lcdgt;

490 1 a| The MIT Press essential knowledge series;

504 a| Includes bibliographical references and index.;

520 a| "The goal of data science is to improve decision making through the analysis of data. Today data science determines the ads we see online, the books and movies that are recommended to us online, which emails are filtered into our spam folders, and even how much we pay for health insurance. This volume in the MIT Press Essential Knowledge series offers a concise introduction to the emerging field of data science, explaining its evolution, current uses, data infrastructure issues, and ethical challenges."--Provided by publisher.;

650 0 a| Big data.=| ^A1157100;

650 0 a| Machine learning.=| ^A145211;

650 0 a| Data mining.=| ^A408868;

650 0 a| Quantitative research.=| ^A1012268;

650 7 a| Big data.2| fast0| (OCoLC)fst01892965;

650 7 a| Data mining.2| fast0| (OCoLC)fst00887946;

650 7 a| Machine learning.2| fast0| (OCoLC)fst01004795;

650 7 a| Quantitative research.2| fast0| (OCoLC)fst01742283;

700 1 a| Tierney, Brendan,d| 1970-e| author.=| ^A1321966;

830 0 a| MIT Press essential knowledge series.=| ^A1063864;

960 o| 1s| 15.95t| Joyner48u| JILLz| USD;

982 a| 99979270871;

998 a| 5013597;

596 a| 1;

999 a| QA76.9.B45 K45 2018w| LCc| 1i| 30372017302412d| 1/15/2025e| 8/20/2024l| JGESm| JOYNERn| 7q| 1r| Ys| Yt| JGESBKu| 3/27/2019x| BOOKz| JSTACKSo| .STAFF. jwjh;

Data science / John D. Kelleher and Brendan Tierney.

Author/creator	Kelleher, John D., 1974- author.
Other author	Tierney, Brendan, 1970- author.
Format	Book
Publication	Cambridge, Massachusetts ; London, England : The MIT Press, [2018]
Copyright Date	©2018
Description	xi, 264 pages : illustrations ; 18 cm.
Subjects	Big data. Machine learning. Data mining. Quantitative research.

Series	The MIT Press essential knowledge series MIT Press essential knowledge series. ^A1063864
Contents	What is data science? -- What is data and what is a dataset? -- The data science ecosystem -- Machine learning 101 -- Standard data science tasks -- Privacy and ethics -- Future trends and principles of success.
Abstract	"The goal of data science is to improve decision making through the analysis of data. Today data science determines the ads we see online, the books and movies that are recommended to us online, which emails are filtered into our spam folders, and even how much we pay for health insurance. This volume in the MIT Press Essential Knowledge series offers a concise introduction to the emerging field of data science, explaining its evolution, current uses, data infrastructure issues, and ethical challenges."--Provided by publisher.
Bibliography note	Includes bibliographical references and index.
LCCN	2017043665
ISBN	9780262535434
ISBN	0262535432 paperback ; alkaline paper

Data science / John D. Kelleher and Brendan Tierney.

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